Sistema Integrado de Transporte Masivo - Análisis de Impacto de Varadas Vehiculares

Un estudio sobre las implicaciones económicas y de servicio

Universidad Tecnológica de Bolívar, Colombia

Alexander Sánchez González
Email: sancheza@utb.edu.co
ID: T00054514

Amparo Hazbun Martinez
Email: ahazbun@utb.edu.co
ID: T00050408

Maria Mercedes Romero Racine
Email: mracine@utb.edu.co
ID: T00079867

Misael Jose Pastrana Fuentes
Email: pastranam@utb.edu.co
ID: T00092786

Antecedentes

Este estudio examina el impacto de las varadas de vehículos dentro del Sistema Integrado de Transporte Masivo (SITM) de Cartagena en las pérdidas económicas y la percepción de calidad del servicio.

Método

  • Análisis de registros de varadas
  • Análisis de pérdidas económicas
  • Evaluación del impacto por ruta y ubicación
  • Análisis estadístico

Palabras clave

Varadas, Pérdidas económicas, Calidad del servicio, Usuarios, SITM (Sistema Integrado de Transporte Masivo).

El Sistema Integrado de Transporte Masivo (SITM) en la ciudad de Cartagena juega un papel fundamental en la movilidad urbana. Su correcto funcionamiento depende en gran medida del estado de la flota y la eficiencia operativa de los vehículos.

Uno de los desafíos más recurrentes que enfrentan estos sistemas son las varadas de vehículos o interrupciones operativas, que generan impactos significativos tanto para la empresa operadora como para los usuarios.

Estas varadas conllevan costos operativos y de mantenimiento asociados con tiempo improductivo. Para los usuarios, tales fallas se traducen en retrasos, incomodidad y pérdida de confianza en el sistema.

Objetivo general

Analizar el impacto de las varadas de los vehículos del Sistema Integrado de Transporte Masivo (SITM) de la ciudad de Cartagena en las pérdidas económicas de la empresa operadora y en la calidad del servicio percibida por los usuarios.

Objetivos específicos

  1. Identificar las rutas y ubicaciones con mayor frecuencia y costos de varadas.
  2. Determinar las principales causas operativas asociadas a las varadas y su relación con la satisfacción del usuario.
  3. Cuantificar las pérdidas económicas generadas por las varadas de los vehículos del SITM.

Este estudio busca analizar de manera integral estas fallas dentro del SITM, comenzando con la identificación de los costos asociados, así como las rutas y ubicaciones donde ocurren con mayor frecuencia, con el fin de identificar patrones operativos críticos.

Finalmente, el estudio busca:

  • Cuantificar las pérdidas económicas resultantes de las varadas
  • Destacar las principales áreas de impacto
  • Evaluar las consecuencias negativas para los usuarios
  • Mejorar la transparencia y reconstruir la confianza en el sistema

Enfoque del estudio

Este estudio utiliza un enfoque mixto que combina análisis cuantitativo de datos operativos con evaluación cualitativa del impacto en usuarios.

Fases metodológicas

  1. Recopilación y procesamiento de registros de varadas
  2. Análisis estadístico de frecuencias y patrones temporales
  3. Evaluación económica de impactos por rutas y ubicaciones
  4. Correlación entre fallos técnicos y percepción de servicio

El Sistema Integrado de Transporte Masivo (SITM) de Cartagena representa un caso de estudio relevante debido a:

  • Es un componente crítico de la movilidad urbana en esta ciudad turística
  • Presenta desafíos operativos recurrentes que afectan su desempeño
  • El impacto de las varadas vehiculares tiene consecuencias económicas y sociales medibles
  • Ofrece un marco práctico para analizar la relación entre eficiencia operativa y satisfacción del usuario

Principales hallazgos

Se espera identificar:

  • Patrones temporales de las varadas (días, horas, estacionalidad)
  • Rutas con mayor incidencia de interrupciones operativas
  • Causas técnicas más frecuentes de las varadas
  • Costos directos e indirectos para la operadora y usuarios
  • Correlación entre incidencia de varadas y satisfacción del usuario
Data summary
Name df
Number of rows 3635
Number of columns 39
_______________________
Column type frequency:
character 24
numeric 12
POSIXct 3
________________________
Group variables None
Variable type: character
skim_variable n_missing complete_rate min max empty n_unique whitespace
sistema_reportado 176 0.95 5 26 0 17 0
afectacion_al_usuario 0 1.00 2 2 0 2 0
ruta 0 1.00 4 4 0 21 0
ubicacion 424 0.88 5 24 0 55 0
vehiculo 0 1.00 7 7 0 128 0
tipologia 0 1.00 6 7 0 2 0
nombre_de_conductor 471 0.87 9 34 0 280 0
hora_novedad 0 1.00 7 8 0 893 0
observacion_de_la_novedad 1118 0.69 20 238 0 2401 0
varado 0 1.00 2 2 0 2 0
decision 335 0.91 4 17 0 5 0
ot 1597 0.56 6 6 0 1876 0
tenico_responsable 1733 0.52 1 49 0 46 0
sistema 1021 0.72 3 18 0 7 0
subsistema 907 0.75 5 24 0 29 0
ref_comp 2044 0.44 1 13 0 341 0
componente 1456 0.60 3 63 0 439 0
adjetivo 1020 0.72 4 13 0 25 0
consecuencia 2029 0.44 5 78 0 234 0
estado 0 1.00 7 19 0 7 0
observacion 2826 0.22 14 161 0 514 0
dia_habil 0 1.00 5 9 0 7 0
mes_falla 0 1.00 5 10 0 7 0
nueva_hora 0 1.00 8 8 0 1266 0
Variable type: numeric
skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
kilometraje 0 1 397494.92 60936.85 224312 348982 391505 451200.5 528784 ▁▅▇▇▃
costo_x_perdida 0 1 1264960.40 1308357.16 600000 900000 900000 1290189.0 37629465 ▇▁▁▁▁
year_falla 0 1 2024.37 0.48 2024 2024 2024 2025.0 2025 ▇▁▁▁▅
num_max_viajes 0 1 83.04 37.27 3 62 90 125.0 126 ▃▃▅▇▇
num_min_viajes 0 1 77.58 34.19 2 49 84 112.0 121 ▂▆▂▇▇
total_usuarios_por_ruta 0 1 1545.44 77.23 1432 1432 1598 1598.0 1598 ▃▁▁▁▇
retrazo 0 1 176970.45 96231.22 14400 93600 176400 259200.0 345600 ▇▇▇▇▇
dia_varados 0 1 1.43 1.09 0 1 1 2.0 4 ▇▇▇▆▁
num_min_pasajeros 0 1 86.83 4.65 80 80 90 90.0 90 ▃▁▁▁▇
num_max_pasajeros 0 1 173.67 9.30 160 160 180 180.0 180 ▃▁▁▁▇
costo_opot_min 0 1 20519570.84 9565997.01 480000 11760000 22680000 30240000.0 32670000 ▂▆▂▇▇
costo_opot_max 0 1 43889083.91 20733105.40 1440000 29760000 48600000 67500000.0 68040000 ▃▃▅▇▇
Variable type: POSIXct
skim_variable n_missing complete_rate min max median n_unique
fecha 0 1 2024-09-01 19:00:00 2025-04-01 02:30:00 2024-12-06 18:18:00 3402
fecha_hora_retrazo 0 1 2024-09-02 22:00:00 2025-04-04 14:47:00 2024-12-09 01:31:00 3580
nueva_fecha 0 1 2024-09-02 00:00:00 2025-04-04 00:00:00 2024-12-09 00:00:00 215

Se realizó un estudio transversal descriptivo sobre una base de fallas en vehículos del Sistema Integrado de Transporte Masivo (SITM) de la ciudad de Cartagena. El análisis abarcó desde el 1 de septiembre de 2024 hasta el 1 de agosto de 2025. por su parte, para las variables cualitativas se estimaron frecuencias absolutas y relativas y en el caso de las variables cuantitativas estas fueron resumidas a partir del uso de medias de tendencia central y dispersión particular, se usaron medias,frecuencias relativas y absolutas. La estimación del costo de oportunidad fue calculada teniendo en cuenta el numero de personas maxima que los vehiculos pueden trasportar y multiplicado por el costo total de la tarija a 2024 que era de $3.000 pesos.

librerias que se utilizaron para desarrollar el tablero:

library(dplyr) library(ggplot2) library(forcats) library(readxl) library(scales) library(stringr) library(flextable) library(plotly) library(shiny) library(skimr) library(htmltools)

Promedio días varados

2

Costo promedio varadas

$1.264.960

Total eventos

3.635

Día con más eventos

Lunes

Tipo de fallas

Frecuencia

907

FRENOS

449

SISTEMA DE REFRIGERACION

446

CARROCERIA

306

INTERNA

284

ELECTRICO MOTOR

249

AIRE ACONDICIONADO

200

SUSPENSION

144

ELECTRICO CARROCERIA

120

SERVICIOS

118


    Shapiro-Wilk normality test

data:  .
W = 0.37973, p-value < 0.00000000000000022
Characteristic A101
N = 911		 A102
N = 251		 A103
N = 731		 A104
N = 511		 A105
N = 501		 A107
N = 1371		 A108
N = 651		 A111
N = 11		 A114
N = 3031		 A117
N = 1821		 C001
N = 1711		 C016
N = 21		 C018
N = 231		 T102
N = 4681		 T103
N = 1211		 X101
N = 391		 X102
N = 3271		 X103
N = 3001		 X104
N = 5241		 X105
N = 1361		 X106
N = 5461
afectacion_al_usuario




















    NO 69 (76%) 20 (80%) 46 (63%) 31 (61%) 24 (48%) 101 (74%) 43 (66%) 0 (0%) 240 (79%) 149 (82%) 70 (41%) 2 (100%) 6 (26%) 309 (66%) 69 (57%) 14 (36%) 180 (55%) 134 (45%) 189 (36%) 47 (35%) 170 (31%)
    SI 22 (24%) 5 (20%) 27 (37%) 20 (39%) 26 (52%) 36 (26%) 22 (34%) 1 (100%) 63 (21%) 33 (18%) 101 (59%) 0 (0%) 17 (74%) 159 (34%) 52 (43%) 25 (64%) 147 (45%) 166 (55%) 335 (64%) 89 (65%) 376 (69%)
ubicacion




















    E. PATIO PORTAL 69 (81%) 20 (80%) 4 (17%) 0 (0%) 0 (0%) 7 (22%) 7 (28%) 0 (0%) 217 (75%) 141 (82%) 12 (8.7%) 2 (100%) 2 (8.7%) 294 (64%) 67 (56%) 8 (24%) 170 (55%) 129 (44%) 11 (2.2%) 3 (2.3%) 13 (2.5%)
    E. LA BODEGUITA 1 (1.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 28 (20%) 0 (0%) 7 (30%) 16 (3.5%) 18 (15%) 15 (45%) 74 (24%) 87 (30%) 173 (35%) 21 (16%) 214 (41%)
    TERMINAL 2 (2.4%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 8 (2.7%) 4 (2.3%) 0 (0%) 0 (0%) 0 (0%) 2 (0.4%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 174 (35%) 1 (0.8%) 0 (0%)
    RODEO 1 (1.2%) 1 (4.0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 144 (28%)
    CIUDADELA 2000 0 (0%) 0 (0%) 4 (17%) 1 (5.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 53 (38%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 44 (34%) 3 (0.6%)
    E. BAZURTO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 16 (3.5%) 2 (1.7%) 1 (3.0%) 12 (3.9%) 9 (3.1%) 38 (7.6%) 15 (12%) 2 (0.4%)
    E. CHAMBACU 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (43%) 26 (5.7%) 3 (2.5%) 1 (3.0%) 2 (0.6%) 2 (0.7%) 16 (3.2%) 2 (1.6%) 1 (0.2%)
    E. LA CASTELLANA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (3.1%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 1 (0.8%) 0 (0%) 0 (0%) 3 (1.0%) 2 (0.4%) 0 (0%) 52 (10.0%)
    OLAYA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (3.1%) 0 (0%) 0 (0%) 2 (0.7%) 2 (1.2%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 40 (8.0%) 1 (0.8%) 0 (0%)
    SAN FERNANDO 0 (0%) 0 (0%) 5 (21%) 8 (44%) 12 (67%) 3 (9.4%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (2.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 2 (1.6%) 8 (1.5%)
    DESCONOCIDA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 14 (4.8%) 2 (1.2%) 1 (0.7%) 0 (0%) 0 (0%) 9 (2.0%) 0 (0%) 1 (3.0%) 3 (1.0%) 1 (0.3%) 1 (0.2%) 0 (0%) 3 (0.6%)
    E. CENTRO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (2.2%) 0 (0%) 1 (4.3%) 8 (1.8%) 0 (0%) 1 (3.0%) 3 (1.0%) 6 (2.1%) 2 (0.4%) 5 (3.9%) 4 (0.8%)
    POZON 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 9 (3.1%) 15 (8.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 7 (1.4%) 0 (0%) 1 (0.2%)
    FLOR DEL CAMPO 1 (1.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 27 (9.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    CRESPO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 28 (6.1%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    BOCAGRANDE 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 13 (11%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 11 (8.6%) 1 (0.2%)
    E. LA POPA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 6 (5.0%) 0 (0%) 4 (1.3%) 1 (0.3%) 7 (1.4%) 1 (0.8%) 5 (1.0%)
    E. MARIA AUXILIADORA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (4.0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (2.2%) 0 (0%) 0 (0%) 0 (0%) 8 (2.8%) 2 (0.4%) 0 (0%) 4 (0.8%)
    E. DELICIAS 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (0.7%) 0 (0%) 0 (0%) 7 (2.3%) 2 (0.7%) 3 (0.6%) 5 (3.9%) 4 (0.8%)
    E. REPUBLICA DEL LIBANO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (4.3%) 7 (1.5%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (0.6%) 0 (0%) 12 (2.3%)
    E. EL PRADO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (4.3%) 6 (1.3%) 0 (0%) 1 (3.0%) 0 (0%) 7 (2.4%) 0 (0%) 6 (4.7%) 1 (0.2%)
    E. LOS EJECUTIVOS 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 1 (0.8%) 1 (3.0%) 0 (0%) 2 (0.7%) 1 (0.2%) 0 (0%) 16 (3.1%)
    LOS CARACOLES 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (12%) 0 (0%) 0 (0%) 0 (0%) 14 (10%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (1.3%) 1 (0.3%) 0 (0%) 0 (0%) 0 (0%)
    BLAS DE LEZO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (31%) 3 (12%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 5 (1.7%) 0 (0%) 0 (0%) 0 (0%)
    E. LO AMADOR 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (1.3%) 2 (0.7%) 1 (0.2%) 2 (1.6%) 8 (1.5%)
    BOSQUE 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (2.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 9 (2.9%) 0 (0%) 0 (0%) 4 (3.1%) 0 (0%)
    NELSON MANDELA 0 (0%) 0 (0%) 10 (42%) 4 (22%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    VILLA ROSITA 3 (3.5%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (0.7%) 3 (1.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (1.2%) 0 (0%) 0 (0%)
    EL CARMELO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 5 (16%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (4.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 1 (0.8%) 0 (0%)
    E. CUATRO VIENTOS 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 3 (2.5%) 0 (0%) 0 (0%) 0 (0%) 5 (1.0%) 1 (0.8%) 2 (0.4%)
    E. VILLA OLIMPICA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (0.9%) 1 (0.8%) 1 (3.0%) 1 (0.3%) 0 (0%) 3 (0.6%) 1 (0.8%) 1 (0.2%)
    TERNERA 2 (2.4%) 4 (16%) 0 (0%) 0 (0%) 1 (5.6%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (0.6%)
    VILLA DE ARANJUES 1 (1.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (3.4%) 1 (0.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    BOMBA EL AMPARO 0 (0%) 0 (0%) 0 (0%) 1 (5.6%) 0 (0%) 2 (6.3%) 1 (4.0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 0 (0%) 0 (0%) 2 (0.6%) 0 (0%) 1 (0.2%) 0 (0%) 3 (0.6%)
    E. LOS ANGELES 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (2.2%) 1 (0.8%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    MARBELLA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 10 (2.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%)
    ZARAGOCILLA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (2.2%) 0 (0%) 0 (0%) 1 (0.2%) 0 (0%) 0 (0%) 1 (0.3%) 6 (2.1%) 0 (0%) 0 (0%) 0 (0%)
    CC EL SAO 0 (0%) 0 (0%) 1 (4.2%) 2 (11%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 6 (1.2%)
    PIEDRA BOLIVAR 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (2.9%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (2.1%) 0 (0%) 0 (0%) 0 (0%)
    SAN PEDRO MARTIR 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 3 (9.4%) 6 (24%) 0 (0%) 0 (0%) 0 (0%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    VILLA ESTRELLA 1 (1.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (2.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (0.8%) 0 (0%) 0 (0%)
    CAMPESTRE 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (16%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (1.6%) 1 (0.2%)
    TACARIGUA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 6 (2.1%) 0 (0%) 0 (0%) 0 (0%)
    LA GOBERNACION 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 6 (1.2%)
    E. ESPAÑA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 3 (2.5%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%)
    SIMON BOLIVAR 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (22%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    CIUDAD JARDIN 3 (3.5%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (3.0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    ESCALLON VILLA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 4 (1.4%) 0 (0%) 0 (0%) 0 (0%)
    MARTINES MARTELO 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (5.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (0.6%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%)
    CRISANTO LUQUE 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (0.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    ESPAÑA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (1.4%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 0 (0%)
    PORTALES SAN FERNANDO 0 (0%) 0 (0%) 0 (0%) 2 (11%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    SAN JOSE DE LOS CAMPANOS 1 (1.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (6.1%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    UNISINU 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.7%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 2 (0.6%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    DANIEL LEMAITRE 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (4.3%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
    Unknown 6 0 49 33 32 105 40 0 12 9 33 0 0 12 2 6 19 10 23 8 25
tipologia




















    PADRON 2 (2.2%) 1 (4.0%) 1 (1.4%) 3 (5.9%) 2 (4.0%) 2 (1.5%) 2 (3.1%) 0 (0%) 12 (4.0%) 6 (3.3%) 5 (2.9%) 0 (0%) 0 (0%) 465 (99%) 120 (99%) 38 (97%) 326 (100%) 299 (100%) 521 (99%) 136 (100%) 543 (99%)
    BUSETON 89 (98%) 24 (96%) 72 (99%) 48 (94%) 48 (96%) 135 (99%) 63 (97%) 1 (100%) 291 (96%) 176 (97%) 166 (97%) 2 (100%) 23 (100%) 3 (0.6%) 1 (0.8%) 1 (2.6%) 1 (0.3%) 1 (0.3%) 3 (0.6%) 0 (0%) 3 (0.5%)
varado




















    NO 79 (87%) 21 (84%) 51 (70%) 42 (82%) 36 (72%) 106 (77%) 45 (69%) 1 (100%) 272 (90%) 160 (88%) 124 (73%) 2 (100%) 11 (48%) 420 (90%) 113 (93%) 38 (97%) 300 (92%) 265 (88%) 452 (86%) 115 (85%) 505 (92%)
    SI 12 (13%) 4 (16%) 22 (30%) 9 (18%) 14 (28%) 31 (23%) 20 (31%) 0 (0%) 31 (10%) 22 (12%) 47 (27%) 0 (0%) 12 (52%) 48 (10%) 8 (6.6%) 1 (2.6%) 27 (8.3%) 35 (12%) 72 (14%) 21 (15%) 41 (7.5%)
decision




















    REGRESO A PATIO 8 (9.0%) 0 (0%) 37 (58%) 39 (81%) 26 (67%) 83 (68%) 32 (58%) 1 (100%) 50 (17%) 23 (13%) 101 (67%) 0 (0%) 7 (32%) 116 (26%) 38 (35%) 32 (84%) 114 (37%) 118 (42%) 382 (83%) 91 (80%) 406 (89%)
    PORTAL 69 (78%) 20 (83%) 3 (4.7%) 0 (0%) 0 (0%) 9 (7.4%) 5 (9.1%) 0 (0%) 214 (73%) 135 (76%) 5 (3.3%) 2 (100%) 2 (9.1%) 287 (64%) 66 (60%) 5 (13%) 168 (55%) 127 (46%) 8 (1.7%) 3 (2.6%) 15 (3.3%)
    GRUA 12 (13%) 3 (13%) 18 (28%) 8 (17%) 11 (28%) 26 (21%) 16 (29%) 0 (0%) 29 (9.9%) 16 (9.0%) 38 (25%) 0 (0%) 10 (45%) 27 (6.0%) 3 (2.7%) 1 (2.6%) 12 (3.9%) 25 (9.0%) 42 (9.1%) 13 (11%) 18 (3.9%)
    AUXILIO EN VIA 0 (0%) 1 (4.2%) 6 (9.4%) 1 (2.1%) 2 (5.1%) 4 (3.3%) 2 (3.6%) 0 (0%) 1 (0.3%) 4 (2.2%) 7 (4.6%) 0 (0%) 3 (14%) 16 (3.6%) 3 (2.7%) 0 (0%) 11 (3.6%) 9 (3.2%) 26 (5.7%) 6 (5.3%) 15 (3.3%)
    ASISTENCIA + GRUA 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.2%) 0 (0%) 0 (0%) 2 (0.7%) 0 (0%) 2 (0.4%) 1 (0.9%) 2 (0.4%)
    Unknown 2 1 9 3 11 15 10 0 9 4 20 0 1 21 11 1 20 21 64 22 90
sistema




















    AIRE_COMPRIMIDO 30 (42%) 10 (63%) 21 (44%) 18 (49%) 11 (34%) 47 (46%) 27 (61%) 1 (100%) 83 (40%) 61 (44%) 50 (38%) 1 (50%) 6 (38%) 102 (29%) 22 (26%) 7 (25%) 67 (28%) 56 (26%) 89 (24%) 30 (31%) 96 (25%)
    MOTOR 6 (8.3%) 0 (0%) 5 (10%) 4 (11%) 6 (19%) 11 (11%) 5 (11%) 0 (0%) 20 (9.7%) 9 (6.5%) 23 (18%) 1 (50%) 0 (0%) 94 (27%) 24 (28%) 9 (32%) 56 (24%) 52 (24%) 117 (31%) 32 (33%) 122 (32%)
    ELECTRICO 19 (26%) 5 (31%) 11 (23%) 4 (11%) 7 (22%) 22 (22%) 6 (14%) 0 (0%) 41 (20%) 26 (19%) 32 (25%) 0 (0%) 7 (44%) 60 (17%) 15 (17%) 3 (11%) 25 (11%) 41 (19%) 64 (17%) 10 (10%) 43 (11%)
    CARROCERIA 7 (9.7%) 0 (0%) 4 (8.3%) 3 (8.1%) 2 (6.3%) 7 (6.9%) 2 (4.5%) 0 (0%) 23 (11%) 16 (12%) 6 (4.6%) 0 (0%) 1 (6.3%) 51 (15%) 15 (17%) 5 (18%) 47 (20%) 40 (19%) 52 (14%) 12 (12%) 57 (15%)
    AIRE_ACONDICIONADO 6 (8.3%) 1 (6.3%) 4 (8.3%) 5 (14%) 0 (0%) 5 (4.9%) 1 (2.3%) 0 (0%) 12 (5.8%) 8 (5.8%) 6 (4.6%) 0 (0%) 1 (6.3%) 23 (6.6%) 5 (5.8%) 2 (7.1%) 24 (10%) 17 (7.9%) 28 (7.4%) 7 (7.2%) 45 (12%)
    CHASIS 4 (5.6%) 0 (0%) 3 (6.3%) 3 (8.1%) 6 (19%) 10 (9.8%) 3 (6.8%) 0 (0%) 26 (13%) 18 (13%) 12 (9.2%) 0 (0%) 1 (6.3%) 16 (4.6%) 5 (5.8%) 2 (7.1%) 18 (7.6%) 9 (4.2%) 26 (6.9%) 6 (6.2%) 19 (5.0%)
    GNV 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.5%) 1 (0.7%) 1 (0.8%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) 1 (0.5%) 1 (0.3%) 0 (0%) 0 (0%)
    Unknown 19 9 25 14 18 35 21 0 97 43 41 0 7 122 35 11 90 84 147 39 164
mes_falla




















    octubre 26 (29%) 5 (20%) 10 (14%) 11 (22%) 9 (18%) 21 (15%) 17 (26%) 0 (0%) 68 (22%) 27 (15%) 12 (7.0%) 0 (0%) 5 (22%) 94 (20%) 25 (21%) 13 (33%) 60 (18%) 46 (15%) 74 (14%) 12 (8.8%) 80 (15%)
    septiembre 16 (18%) 11 (44%) 15 (21%) 10 (20%) 4 (8.0%) 25 (18%) 6 (9.2%) 0 (0%) 64 (21%) 44 (24%) 21 (12%) 2 (100%) 4 (17%) 83 (18%) 22 (18%) 11 (28%) 56 (17%) 48 (16%) 85 (16%) 9 (6.6%) 73 (13%)
    diciembre 4 (4.4%) 1 (4.0%) 15 (21%) 4 (7.8%) 18 (36%) 24 (18%) 14 (22%) 0 (0%) 43 (14%) 23 (13%) 47 (27%) 0 (0%) 8 (35%) 80 (17%) 12 (9.9%) 3 (7.7%) 60 (18%) 42 (14%) 91 (17%) 25 (18%) 85 (16%)
    enero 11 (12%) 2 (8.0%) 12 (16%) 6 (12%) 4 (8.0%) 8 (5.8%) 4 (6.2%) 0 (0%) 46 (15%) 12 (6.6%) 30 (18%) 0 (0%) 2 (8.7%) 74 (16%) 32 (26%) 3 (7.7%) 31 (9.5%) 31 (10%) 75 (14%) 20 (15%) 83 (15%)
    noviembre 13 (14%) 3 (12%) 11 (15%) 11 (22%) 7 (14%) 35 (26%) 8 (12%) 1 (100%) 38 (13%) 19 (10%) 22 (13%) 0 (0%) 4 (17%) 56 (12%) 9 (7.4%) 4 (10%) 44 (13%) 43 (14%) 76 (15%) 18 (13%) 60 (11%)
    febrero 12 (13%) 1 (4.0%) 8 (11%) 7 (14%) 4 (8.0%) 18 (13%) 12 (18%) 0 (0%) 23 (7.6%) 34 (19%) 26 (15%) 0 (0%) 0 (0%) 39 (8.3%) 10 (8.3%) 2 (5.1%) 37 (11%) 45 (15%) 59 (11%) 25 (18%) 87 (16%)
    marzo 9 (9.9%) 2 (8.0%) 2 (2.7%) 2 (3.9%) 4 (8.0%) 6 (4.4%) 4 (6.2%) 0 (0%) 21 (6.9%) 23 (13%) 13 (7.6%) 0 (0%) 0 (0%) 42 (9.0%) 11 (9.1%) 3 (7.7%) 39 (12%) 45 (15%) 64 (12%) 27 (20%) 78 (14%)
1 n (%)

A continuación se presenta un resumen del impacto de las varadas en el desde tres enfoques: financiero, operativo y de usuario.